women-in-religion-llamaindex.ipynb

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women-in-religion-llamaindex.ipynb

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Last edited Jul 1, 2025

Created on Jul 1, 2025

This notebook demonstrates how to build a question-answering system over a collection of documents about women in religion, showing the workflow from document loading to natural language responses. It installs and uses LlamaIndex core libraries alongside OpenRouter’s unified API for language model access, plus sentence-transformers and HuggingFace embeddings for text vectorization. The code mounts Google Drive to access a folder of source files, configures the OpenRouter API key, and sets up an OpenRouter-based LLM, but does not yet execute a query or produce a final visualization.

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